Computer Vision Surgical Record Automation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Surgical procedures face challenges in reducing the surgeon's cognitive load, as existing systems do not effectively automate documentation and adjust system parameters in real-time based on recognized events or steps during surgery, leading to increased procedural time and risk of complications.
Innovation Solution
A computer vision-based system that captures images and kinematic data to detect surgical tools, anatomy, and procedural steps, automatically documenting key events, adjusting system settings, and providing contextually-aware information to reduce cognitive burden on surgeons.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the surgeon manually documents surgical events and adjusts system parameters, then documentation accuracy and system parameter optimization are improved, but the surgeon's cognitive load increases and procedural time extends
Solution Approach 1:
The system automatically detects surgical events using computer vision and generates documentation without requiring surgeon intervention. The system serves itself by autonomously monitoring the surgical site,识别ing procedural steps, and creating surgical records, thereby eliminating the time burden of manual documentation while maintaining accuracy
Solution Approach 2:
The patent replaces the mechanical process of manual documentation with an automated computer vision system. The system uses image processing algorithms to detect surgical events and automatically generates documentation, substituting the surgeon's manual writing or voice dictation process with an automated computational system that reduces procedural time
2Loss of information
If the surgeon manually creates documentation and monitors surgical events, then documentation completeness is improved, but cognitive load and risk of complications increase
Solution Approach 1:
The system continuously monitors the surgical site using computer vision and provides real-time feedback by detecting surgical events and automatically documenting them. This closed-loop feedback mechanism ensures comprehensive documentation of all surgical events while allowing the surgeon to focus on the procedure, thereby reducing cognitive load and the risk of complications
Solution Approach 2:
The patent introduces an intermediary computer vision system that acts as a mediator between the surgical events and the documentation process. This intermediary automatically captures and documents surgical events, ensuring completeness without requiring the surgeon's direct involvement, thereby reducing cognitive load and improving safety
3Productivity
If automated computer vision systems are implemented to recognize surgical events, then productivity and efficiency are improved, but device complexity increases
Solution Approach 1:
The system integrates multiple functions into a single computer vision platform, including surgical event detection, procedural step recognition, and automatic documentation generation. This multi-functional approach increases productivity while managing complexity by consolidating capabilities rather than using separate systems for each function
Data Source
AI summary
A system for capturing records of a surgical procedure includes a camera that captures real time video images of a surgical treatment site. The system detects completion of a predetermined step of a surgical procedure by analyzing the image data using computer vision or analyzing kinematic information from a robotic component. Upon detecting completion of the predetermined step, the system stores a frame from the image data in a surgical record for the procedure.